Justin Bishop's AuthorDNA

The writing patterns that make your content uniquely yours

Based on 20 posts analyzed

What is AuthorDNA?

AuthorDNA is a hidden linguistic profile - the subconscious patterns and habits unique to how someone writes. We analyze posts across 243 style metrics specific to B2B social content and compare them to thousands of other authors.

These are the markers most people don't even notice - but they're what makes writing sound authentic.

Does More Of...

Patterns you use more often than typical LinkedIn authors

Number of emoji in the opening hook
signature
12x more
Number of emoji in the hook
signature
10x more
Proportion of hashtags using CamelCase
signature
5x more
Whether the hook contains emoji
signature
7x more
Percentage of lines containing at least one emoji
consistent
5x more
Emoji count relative to sentence count
distinctive
7x more
Average emoji per line of text
distinctive
8x more

Does Less Of...

Patterns you use less often - that's part of your style too!

Percentage of words that are prepositions
1.4x less
Percentage of words that are verbs
consistent
1.3x less
Signature = unique to you | Distinctive = stands out from average | Consistent = reliable pattern

Your AuthorDNA Profile

You probably didn't realize, but you use 12 times more emoji in your opening hooks than the average LinkedIn poster. That's not just a stylistic quirk - it's a signature move. Most people sprinkle in a smiley here or there. You lead with a full emoji barrage, turning every scroll-stopping line into a visual jolt.

This works because it signals energy and approachability before a reader even glances at your actual words. It’s a dopamine hit in a feed of sameness. Now try briefing this to a ghostwriter: "Make sure the hook has 12x more emoji than anyone else, but keep it authentic." They’d stare at you like you’d lost your mind - because this isn’t a checklist, it’s muscle memory. You couldn’t reverse-engineer this even if you wanted to.

You post less than once a week - every drop is intentional. This is exactly what Drumbeat captures: the patterns you can’t articulate but your audience feels. Your company’s message, in each team member’s authentic voice, at scale.

Signature Phrases

Your most frequently used words and phrases

Posting Consistency

14 Dec 2023 - 30 Oct 2025

0.2 posts/week avg
19/99 active weeks
80 inactive weeks

Deep Dive

Explore all 17 categories of writing style

Call-to-Action Patterns
7
Feature Your DNA vs Others Consistency
Whether CTAs include emoji 45% of posts HIGH VARIES
CTAs phrased as questions vs statements 2% LOW VARIES
Whether CTAs are concentrated at the end of the post 0% LOW STEADY
Whether CTAs include hashtags 5% of posts LOW VARIES
Average position of CTAs in the post Near top TYPICAL VARIES
CTAs using command verbs (Click, Share, Comment, etc.) 8% TYPICAL VARIES
Whether any call-to-action exists 65% of posts TYPICAL STEADY
Emoji Usage
38
Feature Your DNA vs Others Consistency
Average distance between repeated emoji 47% HIGH VARIES
Average emoji per line of text 82% HIGH STEADY
Average number of emoji appearing together in clusters 62% HIGH VARIES
Balance between positive and negative emoji 28% HIGH VARIES
Count of neutral/functional emoji 0.3 - 5.4 HIGH STEADY
Count of positive/celebratory emoji 0.0 - 2.2 HIGH VARIES
Emoji count per 1000 words 0 - 100 HIGH VARIES
Emoji count relative to sentence count 69% HIGH STEADY
Emoji density in CTA sections 0 - 96 HIGH VARIES
Emoji density in the hook section 16 - 116 HIGH STEADY
Emoji usage in the middle section of the post 0 - 42 HIGH VARIES
Emoji used to replace words entirely 21% HIGH VARIES
How consistently the same emoji is used for bullets 12% HIGH VARIES
How often the same emoji repeats across the post 10% HIGH VARIES
Largest group of adjacent emoji 62% HIGH VARIES
Number of bullet point lines using emoji as markers 0.0 - 1.0 HIGH VARIES
Number of different emoji types used 0.1 - 5.3 HIGH STEADY
Number of emoji clusters (groups of adjacent emoji) 0.0 - 1.0 HIGH VARIES
Number of emoji in call-to-action lines 0.0 - 2.7 HIGH VARIES
Number of emoji in the opening hook 1.1 - 4.5 HIGH STEADY
Percentage of emoji that are neutral/functional 72% HIGH STEADY
Percentage of emoji that are positive/celebratory 28% HIGH VARIES
Percentage of lines containing at least one emoji 43% HIGH STEADY
Proportion of emoji appearing in clusters 16% HIGH VARIES
Total count of repeated emoji across the post 0.0 - 1.7 HIGH VARIES
Total number of emoji in the post 0.0 - 6.4 HIGH VARIES
Variety of different emoji used (unique/total ratio) 72% HIGH STEADY
Variety of different emoji used as bullets 8% HIGH VARIES
Whether any emoji are used in the post 80% of posts HIGH STEADY
Whether emoji are used as bullet point markers 12% HIGH VARIES
Whether the post starts with an emoji 31% HIGH VARIES
Count of negative/warning emoji ~0.0 LOW STEADY
Percentage of emoji that are 'corpspeak' type 0% LOW STEADY
Percentage of emoji that are negative/warning 0% LOW STEADY
Percentage of lines that contain only emoji 0% LOW STEADY
Proportion of emoji that appear multiple times 0% LOW STEADY
Consistency of emoji bullet indentation 0% TYPICAL STEADY
How consistently emoji pair with specific words 1% TYPICAL STEADY
Formality & Tone
9
Feature Your DNA vs Others Consistency
Variety of different contractions used 40% HIGH VARIES
Count of negative contractions used 10% LOW VARIES
Ratio of negative to positive contractions 1:13 LOW VARIES
Usage of negative contractions (don't, won't, can't) 9% LOW VARIES
Count of positive contractions used 55% TYPICAL VARIES
Number of different contraction types 65% TYPICAL VARIES
Percentage of words that are contractions 68% TYPICAL VARIES
Total number of contractions 65% TYPICAL VARIES
Usage of positive contractions (it's, I'm, we're) 58% TYPICAL VARIES
Function Words
21
Feature Your DNA vs Others Consistency
Usage of 'who' per 1000 words 0-28 per 1k words HIGH VARIES
Usage of 'but' per 1000 words 0-3 per 1k words LOW VARIES
Usage of 'by' per 1000 words 0-4 per 1k words LOW VARIES
Usage of 'of' per 1000 words 0 - 24 LOW VARIES
Usage of 'so' per 1000 words 0-3 per 1k words LOW VARIES
Usage of 'which' per 1000 words ~0 per 1k words LOW STEADY
Overall grammatical word usage 96 - 238 TYPICAL STEADY
Usage of 'a' per 1000 words 0 - 30 TYPICAL VARIES
Usage of 'and' per 1000 words 0 - 41 TYPICAL STEADY
Usage of 'as' per 1000 words 0-15 per 1k words TYPICAL VARIES
Usage of 'at' per 1000 words 0-18 per 1k words TYPICAL VARIES
Usage of 'because' per 1000 words 0-4 per 1k words TYPICAL VARIES
Usage of 'for' per 1000 words 0 - 27 TYPICAL VARIES
Usage of 'if' per 1000 words 0-7 per 1k words TYPICAL VARIES
Usage of 'is' per 1000 words 0 - 34 TYPICAL VARIES
Usage of 'on' per 1000 words 0-16 per 1k words TYPICAL VARIES
Usage of 'that' per 1000 words 0-15 per 1k words TYPICAL VARIES
Usage of 'the' per 1000 words 11 - 64 TYPICAL STEADY
Usage of 'to' per 1000 words 3 - 38 TYPICAL STEADY
Usage of 'with' per 1000 words 0-16 per 1k words TYPICAL VARIES
Variety of function words used 36% TYPICAL STEADY
Hashtag Usage
12
Feature Your DNA vs Others Consistency
Average character length of hashtags 9 - 14 HIGH STEADY
Hashtag density per 100 words 1 - 16 HIGH STEADY
Proportion of hashtags placed at the end 80% HIGH STEADY
Proportion of hashtags using CamelCase 84% HIGH STEADY
Proportion of hashtags woven into the text 14% HIGH VARIES
Total number of hashtags 1.3 - 9.6 HIGH STEADY
Whether any hashtags are used 85% of posts HIGH STEADY
Proportion of all-lowercase hashtags 12% LOW VARIES
Proportion of hashtags in the opening 6% LOW VARIES
Ratio of inline hashtags to end hashtags 30% LOW VARIES
Whether the opening line contains a hashtag 6% LOW VARIES
Proportion of hashtags in ALL CAPS 4% TYPICAL VARIES
Opening Hooks
14
Feature Your DNA vs Others Consistency
Number of emoji in the hook 0.3 - 3.8 HIGH STEADY
Whether the hook contains emoji 80% of posts HIGH STEADY
Whether there's a blank line after the hook 35% HIGH VARIES
Use of 'you/your' in the hook 1% LOW VARIES
Whether the hook starts with a conjunction 0% LOW STEADY
ALL CAPS words in the hook 3% TYPICAL VARIES
Character count of the hook 136 - 318 TYPICAL STEADY
Character position where the hook ends 136 - 318 TYPICAL STEADY
Hook length relative to total post 63% TYPICAL STEADY
Hook lines relative to total lines 57% TYPICAL STEADY
Negation words in the hook 0.0 - 0.7 TYPICAL VARIES
Where LinkedIn's 'see more' cuts off 63% TYPICAL STEADY
Whether the hook contains a question 20% of posts TYPICAL VARIES
Whether there's a clear opening hook section 40% of posts TYPICAL VARIES
Line Structure
18
Feature Your DNA vs Others Consistency
Blank lines per 100 total lines 22 - 48 HIGH STEADY
Predictability of line length pattern Very consistent HIGH STEADY
Proportion of blank space 35% HIGH STEADY
Spacing between content-rich lines 1.1 - 2.3 HIGH STEADY
Percentage of single-word lines 1% LOW STEADY
Ratio of lines starting with ALL CAPS 1% LOW STEADY
Ratio of lines starting with numbers 0% LOW STEADY
Ratio of lines starting with punctuation 2% LOW VARIES
Ratio of lines starting with quotes 0% LOW STEADY
Variation in block sizes 28% LOW VARIES
Average characters per line 48 - 165 TYPICAL STEADY
Average lines per text block 0.9 - 1.3 TYPICAL STEADY
Average spacing between blank lines 0.3 - 2.6 TYPICAL STEADY
Average words per line 6 - 27 TYPICAL STEADY
Lines containing exactly one sentence 61% TYPICAL STEADY
Number of visual text blocks 1.5 - 7.4 TYPICAL STEADY
Percentage of very short lines (<5 words) 13% TYPICAL VARIES
Variation in line lengths 0 - 651 TYPICAL VARIES
List Patterns
15
Feature Your DNA vs Others Consistency
Use of inline enumeration 2% HIGH VARIES
Average items per emoji list 0% LOW STEADY
Consistency of emoji bullet indentation 0% LOW STEADY
Consistency of numbered list formatting 0% LOW STEADY
Nesting depth of numbered lists 0% LOW STEADY
Number of emoji bullet list sections ~0.0 LOW STEADY
Number of numbered list sections ~0.0 LOW STEADY
Use of fraction-style numbering (1/, 2/) 0% LOW STEADY
Variety of emoji used as bullets 0% LOW STEADY
Whether any list structure is used 5% of posts LOW VARIES
Whether emoji bullet lists are used 0% of posts LOW STEADY
Whether numbered lists are used 0% of posts LOW STEADY
Average items per dash/bullet list 15% TYPICAL VARIES
Number of dash/bullet list sections 0.0 - 0.3 TYPICAL VARIES
Whether dash/bullet lists are used 5% of posts TYPICAL VARIES
Vocabulary & Phrases
10
Feature Your DNA vs Others Consistency
Common idioms and expressions per 1000 words 0% LOW STEADY
Count of idiomatic expressions ~0.0 LOW STEADY
Count of words used only once 13 - 102 TYPICAL STEADY
How often three-word phrases repeat 79% TYPICAL VARIES
How often two-word phrases repeat 0.0 - 8.9 TYPICAL VARIES
Length of longest repeated phrase 0.0 - 2.8 TYPICAL VARIES
Number of unique words used 9 - 131 TYPICAL STEADY
Percentage of words used only once 88% TYPICAL STEADY
Ratio of meaningful words to grammatical words 5% TYPICAL STEADY
Unique words divided by total words 85% TYPICAL STEADY
Sentence Openings
16
Feature Your DNA vs Others Consistency
Count of sentences starting with -ing verbs 0.0-0.9 per post HIGH VARIES
Count of sentences starting with There is/It is 0.0-0.3 per post HIGH VARIES
Count of sentences starting with adverbs 0.0-0.9 per post HIGH VARIES
Count of sentences starting with conjunctions 0.0-1.0 per post HIGH VARIES
Count of sentences starting with discourse markers 0.0-0.6 per post HIGH VARIES
Count of sentences starting with pronouns 0.0-3.8 per post HIGH VARIES
Count of sentences starting with subordinate clauses 0.0-1.1 per post HIGH VARIES
Count of sentences starting with time words 0.0-0.3 per post HIGH VARIES
Sentences starting with Actually, Basically, etc. (%) 3% HIGH VARIES
Sentences starting with adverbs (%) 7% HIGH VARIES
Sentences starting with subordinate clauses (%) 5% HIGH VARIES
Sentences starting with time words (%) 2% HIGH VARIES
Sentences starting with 'There is/are' or 'It is' (%) 15% LOW VARIES
Sentences starting with -ing verbs (%) 3% TYPICAL VARIES
Sentences starting with And, But, Or, So (%) 1% TYPICAL VARIES
Sentences starting with pronouns (I, You, We, They) (%) 0 - 42 TYPICAL VARIES
Closing Patterns
11
Feature Your DNA vs Others Consistency
Number of emoji in the closing 0.0 - 2.7 HIGH VARIES
Whether the closing has emoji clusters 20% HIGH VARIES
Whether the ending includes emoji 50% of posts HIGH VARIES
Whether the ending includes hashtags 85% of posts HIGH STEADY
Whether the ending has a call-to-action 20% of posts LOW VARIES
Whether the ending is a question 5% LOW VARIES
ALL CAPS words in the closing 4% TYPICAL VARIES
Character length of the closing 79 - 419 TYPICAL STEADY
Closing length relative to total post 66% TYPICAL STEADY
Whether the closing has a signature phrase 20% of posts TYPICAL VARIES
Whether there's a clear closing section 65% of posts TYPICAL STEADY
Paragraph Structure
13
Feature Your DNA vs Others Consistency
Opening paragraph length vs body average 1% HIGH STEADY
Variation in length changes between paragraphs 41% LOW VARIES
Average change in length between paragraphs 96% TYPICAL STEADY
Average sentences per paragraph 1.0 - 2.4 TYPICAL STEADY
Average sentences per paragraph 1.0 - 2.4 TYPICAL STEADY
Closing paragraph length vs body average 63% TYPICAL STEADY
Consecutive long paragraphs 10% TYPICAL VARIES
Consecutive short paragraphs 1.3 - 4.7 TYPICAL STEADY
How frequently new paragraphs start 24 - 130 TYPICAL STEADY
How much paragraph length varies 0.0 - 2.4 TYPICAL VARIES
Length of your longer paragraphs (80th percentile) 1.2 - 3.5 TYPICAL STEADY
Total number of paragraphs 1.5 - 7.4 TYPICAL STEADY
Typical paragraph length (median) 0.9 - 2.4 TYPICAL STEADY
Parts of Speech
9
Feature Your DNA vs Others Consistency
Percentage of words that are adverbs 2% LOW STEADY
Balance/distribution of different word types Fairly consistent TYPICAL STEADY
Percentage of auxiliary/helper verbs 5% TYPICAL VARIES
Percentage of words that are adjectives 8% TYPICAL STEADY
Percentage of words that are determiners 6% TYPICAL STEADY
Percentage of words that are nouns 11 - 30 TYPICAL STEADY
Percentage of words that are prepositions 7% TYPICAL STEADY
Percentage of words that are pronouns 0 - 33 TYPICAL VARIES
Percentage of words that are verbs 6 - 15 TYPICAL STEADY
Post Basics
7
Feature Your DNA vs Others Consistency
Average word complexity (syllables per word) 1.4 - 2.0 TYPICAL STEADY
Count of complex words (3+ syllables) 0 - 32 TYPICAL VARIES
How easy the text is to read (higher = easier) 27 - 73 TYPICAL STEADY
Percentage of complex words (3+ syllables) 11 - 26 TYPICAL STEADY
Total sentence count 0 - 15 TYPICAL VARIES
Total syllables in the post 0 - 336 TYPICAL VARIES
Total word count of the post 0 - 212 TYPICAL VARIES
Punctuation Style
17
Feature Your DNA vs Others Consistency
Em dash (—) usage per 1000 words 0-10 per 1k words HIGH VARIES
En dash (–) usage per 1000 words 0-9 per 1k words HIGH VARIES
Parentheses usage per 1000 words 0-23 per 1k words HIGH VARIES
Percentage of sentences ending with exclamation 5 - 49 HIGH STEADY
Ellipsis (...) usage per 1000 words 0-2 per 1k words LOW VARIES
Hyphen usage per 1000 words 0-18 per 1k words LOW VARIES
Mixed punctuation clusters per 1000 words ~0 per 1k words LOW STEADY
Multiple exclamation marks per 1000 words ~0 per 1k words LOW STEADY
Multiple question marks per 1000 words ~0 per 1k words LOW STEADY
Percentage of sentences trailing off with ellipsis 56% LOW VARIES
Quotation mark usage per 1000 words 0-3 per 1k words LOW VARIES
Colon usage per 1000 words 0-66 per 1k words TYPICAL VARIES
Comma usage per 1000 words 9-78 per 1k words TYPICAL STEADY
Exclamation marks per 1000 words 2-43 per 1k words TYPICAL STEADY
Percentage of sentences ending with a question 6% TYPICAL VARIES
Question marks per 1000 words 0-31 per 1k words TYPICAL VARIES
Semicolon usage per 1000 words 0-2 per 1k words TYPICAL VARIES
Quotes & Narrative
10
Feature Your DNA vs Others Consistency
Average length of quoted passages 0 - 172 HIGH VARIES
Total characters in quoted content 0 - 191 HIGH VARIES
Lines starting with quotation marks 0% LOW STEADY
Presence of dialogue attribution patterns 0% LOW STEADY
Lines using past tense 34% TYPICAL STEADY
Number of narrative/story signals 0.2 - 2.3 TYPICAL STEADY
Number of quotation blocks 0.0 - 1.3 TYPICAL VARIES
Use of story transitions 8% TYPICAL VARIES
Whether the post contains quotations 45% of posts TYPICAL VARIES
Whether the post tells a story 45% of posts TYPICAL VARIES
Sentence Rhythm
16
Feature Your DNA vs Others Consistency
Parenthetical breaks per 1000 words 0 - 27 HIGH VARIES
Overall sentence complexity 11 - 37 LOW STEADY
Variation in clause count across sentences 0.0 - 2.0 LOW STEADY
Word count of shortest sentence 0.6 - 8.1 LOW STEADY
Average number of clauses per sentence 1.5 - 2.3 TYPICAL STEADY
Average number of words per sentence 8 - 17 TYPICAL STEADY
Average words per sentence 8 - 17 TYPICAL STEADY
How much sentence length varies (normalized) 60% TYPICAL STEADY
How often paragraphs contain just one sentence 58% TYPICAL STEADY
Length of your longer sentences (80th percentile) 12 - 27 TYPICAL STEADY
Length of your shorter sentences (20th percentile) 2 - 10 TYPICAL STEADY
Percentage of sentences over 20 words 22% TYPICAL STEADY
Percentage of sentences under 8 words 42% TYPICAL STEADY
Typical sentence length (median) 6 - 17 TYPICAL STEADY
Variation in sentence lengths 4 - 11 TYPICAL STEADY
Word count of the longest sentence 13 - 31 TYPICAL STEADY

Let's turn your leadership into lead magnets

Create, personalise and orchestrate professional social content across your whole team - in THEIR voice, on YOUR message, at ANY scale.

Book a Demo